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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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applicant will also bring significant experience with general software engineering, with working experience with Cloud Platforms (Google Cloud Platform, AWS, Azure), alongside a strong understanding of recent
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, Associate Professor Chresten Træholt (ctra@dtu.dk ), Senior Researcher Shi You (shyo@dtu.dk ) or Senior Researcher Yi Zong (yizo@dtu.dk ). You can read more about DTU Wind and Energy Systems at https
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research into practical training and onboarding activities to support SME deployment on a cloud-native platform. Reporting to Professor Manolya Kavakli-Thorne, you will work closely with Connected Places
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searching for a Postdoctoral Associate with strong research interest in behavioral medicine. The candidate will participate in an active NIH and NSF biobehavioral research program (Director, Mustafa al'Absi
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Title: Postdoctoral Research Associate: High Performance Cloud Computing Laboratory (HPCC Lab) Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT
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process, and subsequently implement this infrastructure on top of an existing cloud infrastructure. You will play a key role in the project's development, ensuring technical tasks and teams work together to
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining